Rehearsal revealed: The limits and merits of revisiting samples in continual learning

15 April 2021

Tinne Tuytelaars

Papers citing "Rehearsal revealed: The limits and merits of revisiting samples in continual learning"

21 / 21 papers shown

Title
Continual Learning With Quasi-Newton Methods Steven Vander Eeckt Hugo Van hamme CLL BDL 69 0 0 25 Mar 2025
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay Hossein Rezaei Mohammad Sabokrou CLL 35 0 0 09 Oct 2024
Where are we in audio deepfake detection? A systematic analysis over generative and detection models Xiang Li Pin-Yu Chen Wenqi Wei 41 3 0 06 Oct 2024
Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation Zhengyuan Xie Haiquan Lu Jia-Wen Xiao Enguang Wang Le Zhang Xialei Liu CLL 33 2 0 19 Jul 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System Chen Chen Ruizhe Li Yuchen Hu Yuanyuan Chen Chengwei Qin Qiang Zhang CLL 41 2 0 16 May 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning Prashant Shivaram Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 48 2 0 28 Apr 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks Philip Matthias Winter M. Wimmer David Major Dimitrios Lenis Astrid Berg Theresa Neubauer Gaia Romana De Paolis Johannes Novotny Sophia Ulonska Katja Bühler 39 0 0 18 Mar 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 36 31 0 27 Dec 2023
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion Yi Sun Xin Xu Jian Li Guanglei Xie Yifei Shi Qiang Fang CLL MoMe 34 1 0 12 Dec 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How Timm Hess Tinne Tuytelaars Gido M. van de Ven 44 7 0 08 Nov 2023
Class Incremental Learning with Pre-trained Vision-Language Models Xialei Liu Xusheng Cao Haori Lu Jia-Wen Xiao Andrew D. Bagdanov Ming-Ming Cheng VLM 22 12 0 31 Oct 2023
Coordinated Replay Sample Selection for Continual Federated Learning Jack Good Jimit Majmudar Christophe Dupuy Jixuan Wang Charith Peris Clement Chung Richard Zemel Rahul Gupta 25 2 0 23 Oct 2023
Exploring Continual Learning of Diffusion Models Michal Zajac Kamil Deja Anna Kuzina Jakub M. Tomczak Tomasz Trzciñski Florian Shkurti Piotr Milo's DiffM 35 11 0 27 Mar 2023
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER Ruotian Ma Xuanting Chen Lin Zhang Xin Zhou Junzhe Wang Tao Gui Qi Zhang Xiang Gao Yunwen Chen 47 8 0 10 Oct 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson Hedvig Kjellström Chen Zhang CLL 27 9 0 18 Sep 2022
Re-examining Distillation For Continual Object Detection Eli Verwimp Kuo Yang Sarah Parisot Hong Lanqing Jingyu Sun Eduardo Pérez-Pellitero Matthias De Lange Tinne Tuytelaars VLM 30 6 0 04 Apr 2022
Representation Compensation Networks for Continual Semantic Segmentation Chang-Bin Zhang Jianqiang Xiao Xialei Liu Ying-Cong Chen Mingg-Ming Cheng SSeg CLL 37 93 0 10 Mar 2022
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation Zhipeng Huang Zhizheng Zhang Cuiling Lan Wenjun Zeng Peng Chu Quanzeng You Jiang Wang Zicheng Liu Zhengjun Zha CLL 40 36 0 13 Dec 2021
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion Arthur Douillard Alexandre Ramé Guillaume Couairon Matthieu Cord CLL 30 295 0 22 Nov 2021
Saliency Guided Experience Packing for Replay in Continual Learning Gobinda Saha Kaushik Roy VLM KELM CLL 94 22 0 10 Sep 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,890 0 15 Sep 2016